Morphological, Physiological and Molecular Markers for Salt-Stressed Plants

Area of Science:

• Plant science
• Agronomy
• Genetics

Background:

• Abiotic stresses, particularly salinity, negatively affect plant growth and development.
• Salinity induces complex genetic and metabolic changes, disrupting plant physiology and causing yield reduction.
• Developing salt-tolerant crop varieties is crucial for agricultural productivity, but commercial adoption remains limited.

Purpose of the Study:

• To review salinity stress-related markers at molecular, physiological, and morphological levels.
• To explore the application of machine learning and image analysis in plant phenotyping for stress detection.
• To provide a comprehensive understanding of salt stress impacts across various crop species.

Main Methods:

• Literature review of salinity stress markers in maize, rice, ryegrass, tomato, salicornia, wheat, and Arabidopsis.
• Analysis of molecular, physiological, and morphological indicators of salt stress.
• Discussion of machine learning and deep learning approaches for plant image analysis in phenotyping.

Main Results:

• Salinity stress affects plants through intricate genetic regulation, metabolic imbalance, and physiological alterations.
• Diverse markers exist across molecular, physiological, and morphological levels to assess salt tolerance.
• Machine learning-based plant phenotyping offers a promising approach for early detection of biotic and abiotic damage.

Conclusions:

• Integrating data from various stress markers with image analysis is vital for a holistic understanding of salt stress effects.
• Identifying and characterizing salt tolerance markers can aid in breeding more resilient crops.
• Advanced phenotyping techniques like machine learning can accelerate the development and adoption of salt-tolerant varieties.